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Paper Citation Record · LEDGER

Momentum Contrast for Unsupervised Visual Representation Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:1911.05722.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1911.05722 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:26:57.500232Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

1012
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1f9bce39-3f75-4799-9c3e-6bb36054654b · inbound

A Simple Framework for Contrastive Learning of Visual Representations cites this paper.

A Simple Framework for Contrastive Learning of Visual Representations Momentum Contrast for Unsupervised Visual Representation Learning

Reference 24

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arxiv_id, observed 2026-05-13T18:31:53.318218Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 48903b49-c5af-4756-8d09-c6844c4374b3 · inbound

Improved Baselines with Momentum Contrastive Learning cites this paper.

Improved Baselines with Momentum Contrastive Learning Momentum Contrast for Unsupervised Visual Representation Learning

Reference 6

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arxiv_id, observed 2026-05-13T15:39:24.596088Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a0d0fe9b-3fbc-49cc-9ab0-1a5a08519011 · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Momentum Contrast for Unsupervised Visual Representation Learning

Reference 142

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arxiv_id, observed 2026-05-16T08:12:31.574853Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b54018d3-1586-4e00-a1a0-e27f8a86a6e6 · inbound

Revisiting Feature Prediction for Learning Visual Representations from Video cites this paper.

Revisiting Feature Prediction for Learning Visual Representations from Video Momentum Contrast for Unsupervised Visual Representation Learning

Reference 58

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arxiv_id, observed 2026-05-12T12:40:24.119837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 698a4e60-6163-4b53-b231-1cd09a985224 · inbound

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning cites this paper.

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning Momentum Contrast for Unsupervised Visual Representation Learning

Reference 101

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arxiv_id, observed 2026-05-17T07:51:13.323926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a4c8d04b-9d96-4fb1-af2c-d3cdb9c0ef66 · inbound

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory cites this paper.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Momentum Contrast for Unsupervised Visual Representation Learning

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fd49000b-8f99-4f95-8487-a57118028363 · inbound

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning cites this paper.

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning Momentum Contrast for Unsupervised Visual Representation Learning

Reference 39

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Observation 4e3adccc-06d4-4c40-bf48-a71f01388adc · inbound

Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures cites this paper.

Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures Momentum Contrast for Unsupervised Visual Representation Learning

Reference 60

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Observation 5d869422-5603-4737-9f89-b37cb2418ffc · inbound

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models cites this paper.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Momentum Contrast for Unsupervised Visual Representation Learning

Reference 22

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Observation 14ae10b5-f916-475f-94d6-4dfb6f048fef · inbound

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm cites this paper.

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm Momentum Contrast for Unsupervised Visual Representation Learning

Reference 28

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Observation e5c5b2b2-8bf9-461a-8bab-ee15b7b42c4d · inbound

Barlow-Swin: Toward a novel siamese-based segmentation architecture using Swin-Transformers cites this paper.

Barlow-Swin: Toward a novel siamese-based segmentation architecture using Swin-Transformers Momentum Contrast for Unsupervised Visual Representation Learning

Reference 2019

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Observation a750d58a-42b4-4d45-9574-e16c9db8ddec · inbound

SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning cites this paper.

SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning Momentum Contrast for Unsupervised Visual Representation Learning

Reference 23

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arxiv_id, observed 2026-05-21T20:24:21.370745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f7855d92-419d-4ce0-b793-0f8e008be6d1 · inbound

C-LEAD: Contrastive Learning for Enhanced Adversarial Defense cites this paper.

C-LEAD: Contrastive Learning for Enhanced Adversarial Defense Momentum Contrast for Unsupervised Visual Representation Learning

Reference 25

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Observation b01bb6f8-3a76-4599-951b-9c64d92faba5 · inbound

CIG-MAE: Cross-Modal Information-Guided Masked Autoencoder for Self-Supervised WiFi Sensing cites this paper.

CIG-MAE: Cross-Modal Information-Guided Masked Autoencoder for Self-Supervised WiFi Sensing Momentum Contrast for Unsupervised Visual Representation Learning

Reference 23

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Observation 4b068d5c-ddcc-40a0-8360-bc33d49b7995 · inbound

Similarity Choice and Negative Scaling in Supervised Contrastive Learning for Deepfake Audio Detection cites this paper.

Similarity Choice and Negative Scaling in Supervised Contrastive Learning for Deepfake Audio Detection Momentum Contrast for Unsupervised Visual Representation Learning

Reference 21

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arxiv_id, observed 2026-05-12T08:46:25.874098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 31f6d4ae-e5c3-4229-8b1a-00ecc22ad040 · inbound

ProtoFair: Fair Self-Supervised Contrastive Learning via Pseudo-Counterfactual Pairs cites this paper.

ProtoFair: Fair Self-Supervised Contrastive Learning via Pseudo-Counterfactual Pairs Momentum Contrast for Unsupervised Visual Representation Learning

Reference 9

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arxiv_id, observed 2026-05-09T05:45:22.467697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9ca6813c-3b91-4963-9f01-49754f3c3a10 · inbound

ProtoFair: Fair Self-Supervised Contrastive Learning via Pseudo-Counterfactual Pairs cites this paper.

ProtoFair: Fair Self-Supervised Contrastive Learning via Pseudo-Counterfactual Pairs Momentum Contrast for Unsupervised Visual Representation Learning

Reference 9

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arxiv_id, observed 2026-07-01T00:05:09.872398Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d50b83c4-47d2-4230-b968-8a518632c48d · inbound

Velox: Learning Representations of 4D Geometry and Appearance cites this paper.

Velox: Learning Representations of 4D Geometry and Appearance Momentum Contrast for Unsupervised Visual Representation Learning

Reference 29

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arxiv_id, observed 2026-05-11T17:41:07.693355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2d8f19a1-f0fd-47b9-895a-3242b7c21408 · inbound

Information theoretic underpinning of self-supervised learning by clustering cites this paper.

Information theoretic underpinning of self-supervised learning by clustering Momentum Contrast for Unsupervised Visual Representation Learning

Reference 126

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arxiv_id, observed 2026-05-13T06:22:23.161436Z

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Observation e56fbd35-ca4f-4507-9bc9-783a3df32da7 · inbound

Vision Foundation Models as Generalist Tokenizers for Image Generation cites this paper.

Vision Foundation Models as Generalist Tokenizers for Image Generation Momentum Contrast for Unsupervised Visual Representation Learning

Reference 28

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arxiv_id, observed 2026-05-20T11:03:13.423013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 40cfe652-9333-4ed6-88a4-245f1e1fbf3c · inbound

UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures cites this paper.

UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures Momentum Contrast for Unsupervised Visual Representation Learning

Reference 8

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arxiv_id, observed 2026-07-01T21:16:14.354000Z

Source-reported events for the cited work

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Observation 5db71204-1bad-4e10-94b8-1a15b868137c · inbound

MaCo-GAN: Manifold-Contrastive Adversarial Learning for Single Image Super-Resolution cites this paper.

MaCo-GAN: Manifold-Contrastive Adversarial Learning for Single Image Super-Resolution Momentum Contrast for Unsupervised Visual Representation Learning

Reference 12

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2d6b0f3d-2360-4447-822e-81b8cbaccaac · inbound

Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory cites this paper.

Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory Momentum Contrast for Unsupervised Visual Representation Learning

Reference 34

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arxiv_id, observed 2026-07-02T11:46:55.328090Z

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Observation 2b3e8105-8e90-4ff4-953a-b29b070b381e · inbound

DALE-CT: Depth-Aware Foundation Models for Computed Tomography cites this paper.

DALE-CT: Depth-Aware Foundation Models for Computed Tomography Momentum Contrast for Unsupervised Visual Representation Learning

Reference 13

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Observation 7aa2bcf5-66cf-4b4f-b9ac-370e12fa17ae · inbound

MLT-Dedup: Efficient Large-Scale Online Video Deduplication via Multi-Level Representations and Spatial-Temporal Matching cites this paper.

MLT-Dedup: Efficient Large-Scale Online Video Deduplication via Multi-Level Representations and Spatial-Temporal Matching Momentum Contrast for Unsupervised Visual Representation Learning

Reference 12

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Observation 70b11f3a-42cc-42cd-a84e-80280dcaa3ef · inbound

MoCo-AIS: A Contrastive Learning Framework for Similarity Computation of Vessel Trajectories cites this paper.

MoCo-AIS: A Contrastive Learning Framework for Similarity Computation of Vessel Trajectories Momentum Contrast for Unsupervised Visual Representation Learning

Reference 21

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Source-reported events for the cited work

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Observation c162c842-88d7-42d7-9759-e868481c53f0 · inbound

A welding penetration prediction model for laser welding process based on self-supervised learning using physics-informed neural networks cites this paper.

A welding penetration prediction model for laser welding process based on self-supervised learning using physics-informed neural networks Momentum Contrast for Unsupervised Visual Representation Learning

Reference 23

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Source-reported events for the cited work

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Observation 720e876f-7ebd-4309-ba90-2480b6d05c54 · inbound

LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning cites this paper.

LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning Momentum Contrast for Unsupervised Visual Representation Learning

Reference 18

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Observation 7a190d70-3b7e-444b-b30c-ce3908afc713 · inbound

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning cites this paper.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning Momentum Contrast for Unsupervised Visual Representation Learning

Reference 4

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Observation 40114955-e3c1-4c58-8c92-d380c23ce182 · inbound

HASSL: Hierarchy-Aware Self-Supervised Learning Framework for Single Cell Microscopy cites this paper.

HASSL: Hierarchy-Aware Self-Supervised Learning Framework for Single Cell Microscopy Momentum Contrast for Unsupervised Visual Representation Learning

Reference 24

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Source-reported events for the cited work

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Observation 7bb59837-731e-4bff-989d-ddd3650cb05e · inbound

Bridging the Catalog-to-Real Gap: Scalable Product Recognition via Multi-Stage Contrastive Learning cites this paper.

Bridging the Catalog-to-Real Gap: Scalable Product Recognition via Multi-Stage Contrastive Learning Momentum Contrast for Unsupervised Visual Representation Learning

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 92343e5b-3985-4c5b-ad49-dee7cf6895a9 · inbound

Twins: Learn to Predict Unified Representations with Focal Loss cites this paper.

Twins: Learn to Predict Unified Representations with Focal Loss Momentum Contrast for Unsupervised Visual Representation Learning

Reference 205

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Source-reported events for the cited work

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Observation 989f113e-bdfd-4eda-8c72-96ebb9beab0d · inbound

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution cites this paper.

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution Momentum Contrast for Unsupervised Visual Representation Learning

Reference 275

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Observation 73c26f2a-b514-4766-b00d-e4670ddd5811 · inbound

Foundation Models for Astrophysics cites this paper.

Foundation Models for Astrophysics Momentum Contrast for Unsupervised Visual Representation Learning

Reference 49

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Unavailable: canonical work link unavailable.

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